Top Software Engineer Jobs in San Diego, CA

Design, build, and operate distributed, data-intensive backend systems and pipelines. Own production data infrastructure (streaming, batch, analytical stores), debug production incidents, participate in on-call rotations, partner with product and frontend teams, write/review architecture and code, and improve observability, reliability, and deployment practices.

Build and ship full‑stack, behavior-driven growth experiments and user experiences to increase activation, retention, and expansion. Implement end-to-end A/B tests and feature flags, instrument analytics, analyze results, and collaborate with Product, Design, Marketing, and PLG. May participate in on-call rotation to support production services.

Design, implement, and maintain Python backend services and scalable data pipelines using dataframes, Parquet, and Databricks. Optimize distributed processing, build APIs, ensure data quality and observability, and mentor engineers.

As a Software Architect, you will define architectural changes, collaborate on priorities, build and improve code, and train team members.

As a Senior Software Engineer, you'll build high-performing, scalable applications for Joyride's auction platform, working on new features and existing code.

The role involves leading the architecture and solution ownership for NSAW implementations, data engineering, SQL transformations, and analytics delivery, ensuring data integrity and executive-level reporting.

The ERP Project Technical Lead manages and oversees the technical development team, ensures project scope is tracked, facilitates communication between functional and technical teams, and enforces development standards.

As a Senior Frontend Engineer II, you will optimize user experience, drive experimentation for growth, and improve the frontend architecture of an eCommerce platform while ensuring accessibility and reliability.

Embed with GTM teams to build internal tools, integrations, and AI agents that ingest and enrich signals, automate workflows across CRM and GTM systems, and move prototypes to production rapidly. Own full lifecycle from scoping to deployment and iteration, focusing on rep productivity and measurable pipeline impact.

Responsible for maintaining and enhancing data warehouses and pipelines, developing scalable ETL processes, data analysis, and reporting through visualization tools like PowerBI.